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ORCIDDavid Kügler
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2020 – today
- 2023
[j7]Clemens Pollak
, David Kügler, Monique M. B. Breteler, Martin Reuter:
Quantifying MR head motion in the Rhineland Study - A robust method for population cohorts. NeuroImage 275: 120176 (2023)- [c7]Clemens Pollak, David Kügler, Martin Reuter:
Estimating Head Motion from Mr-Images. ISBI 2023: 1-5 - [i11]Clemens Pollak, David Kügler, Martin Reuter:
Estimating Head Motion from MR-Images. CoRR abs/2302.14490 (2023) - [i10]Santiago Estrada, David Kügler, Emad Bahrami, Peng Xu, Dilshad Mousa, Monique M. B. Breteler, N. Ahmad Aziz, Martin Reuter:
FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI. CoRR abs/2308.12736 (2023) - [i9]Leonie Henschel, David Kügler, Lilla Zöllei, Martin Reuter:
VINNA for Neonates - Orientation Independence through Latent Augmentations. CoRR abs/2311.17546 (2023) - 2022
- [j6]Leonie Henschel, David Kügler, Martin Reuter:
FastSurferVINN: Building resolution-independence into deep learning segmentation methods - A solution for HighRes brain MRI. NeuroImage 251: 118933 (2022) - [j5]Jennifer Faber, David Kügler, Emad Bahrami, Lea-Sophie Heinz, Dagmar Timmann, Thomas Michael Ernst, Katerina Deike-Hofmann, Thomas Klockgether, Bart van de Warrenburg, Judith van Gaalen, Kathrin Reetz, Sandro Romanzetti, Gulin Oz, James M. Joers, Jörn Diedrichsen:
CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation. NeuroImage 264: 119703 (2022) - [c6]Leonie Henschel, David Kügler, Derek S. Andrews, Christine Wu Nordahl, Martin Reuter:
Identifying and Combating Bias in Segmentation Networks by Leveraging Multiple Resolutions. MICCAI (5) 2022: 350-359 - [c5]Saikat Roy, David Kügler, Martin Reuter:
Are 2.5D approaches superior to 3D deep networks in whole brain segmentation? MIDL 2022: 988-1004 - [i8]Leonie Henschel, David Kügler, Derek S. Andrews, Christine Wu Nordahl, Martin Reuter:
Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions. CoRR abs/2206.14919 (2022) - 2021
- [i7]Leonie Henschel, David Kügler, Martin Reuter:
FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods - A Solution for HighRes Brain MRI. CoRR abs/2112.09654 (2021) - 2020
- [j4]Henry Krumb, Sofie Hofmann, David Kügler, Ahmed Ghazy, Bernhard Dorweiler, Judith Bredemann, Robert H. Schmitt, Georgios Sakas, Anirban Mukhopadhyay:
Leveraging spatial uncertainty for online error compensation in EMT. Int. J. Comput. Assist. Radiol. Surg. 15(6): 1043-1051 (2020) - [j3]David Kügler, Jannik Sehring, Andrei Stefanov, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Anirban Mukhopadhyay:
i3PosNet: instrument pose estimation from X-ray in temporal bone surgery. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1137-1145 (2020) - [c4]David Kügler, Marc Uecker, Arjan Kuijper, Anirban Mukhopadhyay:
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation. MICCAI (3) 2020: 375-384 - [i6]David Kügler, Marc Uecker, Arjan Kuijper, Anirban Mukhopadhyay:
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation. CoRR abs/2006.14858 (2020) - [i5]Christian Ewert, David Kügler, Anastasia Yendiki, Martin Reuter:
Learning Anatomical Segmentations for Tractography from Diffusion MRI. CoRR abs/2009.04392 (2020)
2010 – 2019
- 2019
- [j2]David Kügler, Henry Krumb, Judith Bredemann, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Robert H. Schmitt, Georgios Sakas, Anirban Mukhopadhyay:
High-precision evaluation of electromagnetic tracking. Int. J. Comput. Assist. Radiol. Surg. 14(7): 1127-1135 (2019) - [i4]Anirban Mukhopadhyay, David Kügler, Andreas Bucher, Dieter W. Fellner, Thomas M. Vogl:
Putting Trust First in the Translation of AI for Healthcare. ERCIM News 2019(116) (2019) - 2018
- [c3]David Kügler, Alexander Distergoft, Arjan Kuijper, Anirban Mukhopadhyay:
Exploring Adversarial Examples - Patterns of One-Pixel Attacks. MLCN/DLF/iMIMIC@MICCAI 2018: 70-78 - [c2]David Kügler, Martin Andrade Jastrzebski, Anirban Mukhopadhyay:
Instrument Pose Estimation Using Registration for Otobasis Surgery. WBIR 2018: 105-114 - [i3]David Kügler, Andrei Stefanov, Anirban Mukhopadhyay:
i3PosNet: Instrument Pose Estimation from X-Ray. CoRR abs/1802.09575 (2018) - [i2]David Kügler, Anirban Mukhopadhyay:
How Bad is Good enough: Noisy annotations for instrument pose estimation. CoRR abs/1806.07836 (2018) - [i1]David Kügler, Alexander Distergoft, Arjan Kuijper, Anirban Mukhopadhyay:
Exploring Adversarial Examples: Patterns of One-Pixel Attacks. CoRR abs/1806.09410 (2018) - 2017
- [j1]Henry Arenbeck, Lutz Wittschier, David Kügler, Dirk Abel:
Control methods for robot-based predictive compensation of respiratory motion. Biomed. Signal Process. Control. 34: 16-24 (2017) - 2016
- [c1]David Kügler, Georgios Sakas:
A three-step approach to track the position and the orientation of a surgical instrument in x-ray images. CURAC 2016: 186-188
Coauthor Index
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